Using analytics to determine dining venue based on group preferences

A computer system comprising:

• one or more processors which process program instructions;
• a memory device connected to said one or more processors;
• and
• program instructions residing in said memory device for choosing a dining venue for a group of people by receiving a plurality of individual flavor profiles wherein each individual flavor profile contains information pertaining to flavor preferences of a respective individual, each individual flavor profile includes respective numerical values associated with at least five different flavor types of savory, salty, sweet, bitter and sour, and at least one of the individual flavor profiles is created by receiving an input for one of the individuals indicative of a flavor type and determining the flavor type using a deep-learning neural network, receiving a plurality of venue flavor profiles wherein each venue flavor profile contains information pertaining to available items including multiple menu entries at a respective dining venue and each venue flavor profile includes respective numerical values associated with the at least five different flavor types, receiving a request to choose a dining venue for a group consisting of a plurality of the individuals, creating a group flavor profile based on a subset of the individual flavor profiles corresponding to the plurality of individuals wherein the group flavor profile includes respective numerical values associated with the at least five different flavor types which are a function of respective numerical values from the subset of the individual flavor profiles, and selecting a dining venue based on the group flavor profiles and the venue flavor profiles by performing a least-squares analysis to quantitatively determine a deviation of the numerical values for a given one of the venue flavor profiles compared to respective numerical values for the group flavor profile.

A computer program product comprising:

• a computer readable storage medium;
• and
• program instructions residing in said storage medium for choosing a dining venue for a group of people by receiving a plurality of individual flavor profiles wherein each individual flavor profile contains information pertaining to flavor preferences of a respective individual, each individual flavor profile includes respective numerical values associated with at least five different flavor types of savory, salty, sweet, bitter and sour, and at least one of the individual flavor profiles is created by receiving an input for one of the individuals indicative of a flavor type and determining the flavor type using a deep-learning neural network, receiving a plurality of venue flavor profiles wherein each venue flavor profile contains information pertaining to available items including multiple menu entries at a respective dining venue and each venue flavor profile includes respective numerical values associated with the at least five different flavor types, receiving a request to choose a dining venue for a group consisting of a plurality of the individuals, creating a group flavor profile based on a subset of the individual flavor profiles corresponding to the plurality of individuals wherein the group flavor profile includes respective numerical values associated with the at least five different flavor types which are a function of respective numerical values from the subset of the individual flavor profiles, and selecting a dining venue based on the group flavor profiles and the venue flavor profiles by performing a least-squares analysis to quantitatively determine a deviation of the numerical values for a given one of the venue flavor profiles compared to respective numerical values for the group flavor profile.